| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Rivers School | NE-Prep | 30 | 18 | 21 | 39 | 1.300 | 0.2614 | 0.2614 | 0.5945 | 0.5945 |
| 2024-25 | Rivers School | NE-Prep | 28 | 41 | 29 | 70 | 2.500 | 0.5028 | 0.5028 | 1.1432 | 1.1432 |
| 2025-26 | U.S. National U17 Team | NTDP-U18 | 70 | 29 | 41 | 70 | 1.000 | 0.7433 | 0.7576 | 3.7498 | 3.8222 |
| 2026-27 | Québec Remparts | QMJHL | 6 | 2 | 7 | 9 | 1.500 | 0.7369 | 0.7369 | 4.0044 | 4.0044 |
How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.
Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.